Overview

This webinar will discuss how to identify equipment degradation and failures before they happen, allowing operators to take proactive measures and avoid costly unplanned downtime, production interruptions, and potential risks to the environment and human safety.

Monitored equipment includes control valves, pumps, compressors, and other critical components. Such systems can ingest billions of rows of data weekly from millions of sensors. Data is used to train, tune, and then run thousands of machine learning models in production, thereby making millions of reliability predictions every day.

Speaker

Ehsan Naeini, Executive Leader, CTO Cross Industries EMEA

Ehsan is an executive leader with a demonstrated history of working as CTO, VP Research & Development and Chief Product Officer. He has a proven track record in leading companies towards scalable growth, and Product/Sales teams to deliver cutting-edge AI and Data solutions spanning multiple industries, resulting in substantial value returns.

He has been a strategic partner in raising capital during a Series B funding round and facilitating a successful Exit round for two companies. Ehsan is the author of a portfolio of over 100 papers and he is a distinguished speaker and trusted strategic and commercial advisor. He has a BSc in Physics, an MSc in Geophysics and an PhD in 4D Seismic Data.

The material presented has not been peer-reviewed. Any opinions are the presenter’s own and do not necessarily represent those of IChemE or the Process Management & Control SIG in full. The information is given in good faith but without any liability on the part of IChemE.

Time

09:00–10:00 BST.

Software

The presentation will be delivered via Microsoft Teams. We recommend downloading the app from the Microsoft website, rather than using the web portal.